A Self-Organizing Model of the Visual Development of Hand-Centred Representations

摘要: We show how hand-centred visual representations could develop in the primate posterior parietal and premotor cortices during visually guided learning a self-organizing neural network model. The model incorporates trace feed-forward synaptic connections between successive neuronal layers. Trace encourages neurons to learn respond input images that tend occur close together time. assume sequences of eye movements are performed around individual scenes containing fixed hand-object configuration. will then encourage cells particular configurations across different retinal locations. plausibility this hypothesis is demonstrated computer simulations.